Adeva Startup Deals & Discounts
Match with rigorously vetted engineers, AI specialists, and product talent, and start building within 48 hours.
Deal Overview
Best Offer
$5K
Total Value
$5K
Available Deals
1
Available Deals
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$5k credits
$5k credits
Promo code, redemption steps & eligibility
Adeva Startup Deals - Overview
Adeva runs an application-based program for early-stage companies that gives approved startups credits to put toward hiring vetted technical talent through the network. The credit allowance offsets a meaningful slice of the cost of bringing on your first senior engineers, AI specialists, or product hires, which is exactly the moment when budget is tightest and a wrong hire hurts the most.
The program is aimed at funded or growing startups that need to build a product team quickly but want the assurance of pre-screened, custom-matched candidates rather than the lottery of open job boards. Because acceptance is reviewed rather than automatic, the credits go to teams that genuinely fit the profile, which keeps the talent pool and the matching quality high.
The value is straightforward: lower the financial risk of your earliest engineering and AI hires while still getting access to talent that has passed a demanding vetting process, plus a trial window to confirm fit before any spend counts. For a startup racing to ship, that combination of reduced upfront cost and reduced hiring risk is the real draw of applying.
About Adeva
Hiring senior technical talent usually means weeks of sourcing, screening, and gambling on a stranger's resume. Adeva removes that gamble. It is a global talent network that connects you with senior engineers, AI and machine-learning specialists, data experts, product managers, UX/UI designers, and QA engineers who have already cleared a multi-stage vetting gauntlet before they ever reach your sho...
Key Features
Multi-stage vetting
Candidates clear profile screening, a behavioral interview, and a technical interview or pair-programming round; only about one in ten annual applicants is admitted to the network.
Expert-led matching
You work with engineering-minded matchers who learn your stack and team dynamics, then introduce fitting candidates, often within days rather than weeks.
Up to 48-hour start
Because talent is pre-vetted and matching is streamlined, companies can move from sign-up to a working engagement in as little as 48 hours.
Flexible engagement models
Hire full-time (40 hrs/week) or part-time (20 hrs/week), bring on a single contractor or a full squad, and switch models as project needs change.
AI and data specialists
Beyond software engineering, the network includes machine-learning, NLP, generative-AI, deep-learning, and data-engineering experts through a dedicated AI talent pool.
No-risk trial period
Each new engagement begins with a trial of up to two weeks; if you are not satisfied with the fit, you are not billed.
Pros & Cons
Pros
- Pre-vetted talent - candidates have already passed screening, behavioral, and technical evaluations, so you spend less time filtering resumes and more time building.
- Speed to hire - matching is streamlined enough that engagements can begin within roughly 48 hours, far faster than a typical recruiting cycle.
- Risk-reduced trials - the up-to-two-week trial lets you confirm fit before committing budget, lowering the cost of a bad hire.
- Specialist depth - access to AI, ML, NLP, and data-engineering experts, not just generalist web developers.
- Flexible scaling - move between part-time and full-time or from one hire to a full team as your roadmap changes.
Cons
- Premium positioning - access to highly vetted talent commands rates that may stretch a very early bootstrapped budget once any credit allowance is used up.
- Percentage-based fees - pricing is tied to the hired candidate's rate, so total cost scales with how senior and how many people you bring on.
- Best for hiring teams - the network is built around staffing engagements, so it is overkill for one-off micro-tasks better suited to a marketplace.
Use Cases
Adeva fits teams that need senior technical people fast and cannot afford a hiring miss:
- Startups building a first product team - bring on vetted engineers, AI specialists, and product talent without a months-long recruiting process.
- Scaling engineering orgs - add full-time or part-time capacity for a sprint, a quarter, or an open-ended engagement, and adjust as priorities shift.
- AI and data initiatives - staff machine-learning, NLP, or generative-AI projects with specialists who are hard to source through general job boards.
- Companies testing before committing - use the trial period to validate a hire on real work before any spend counts.
- Distributed teams - tap talent across regions and time zones while keeping vetting and matching handled in one place.
Pricing
Adeva does not publish fixed list prices; cost is built around the talent you hire rather than a flat subscription.
- Engagement-based billing - you are charged for the talent you engage, typically as a percentage tied to the candidate's hourly or salaried rate, scaled to full-time (40 hrs/week) or part-time (20 hrs/week) commitments.
- Trial period - each new engagement starts with a no-risk trial of up to two weeks; if the fit is wrong, that time is not billed.
- Custom quotes - rates depend on seniority, specialization (for example AI/ML versus general engineering), and whether you need an individual or a full team, so pricing is provided after a needs conversation.
Approved startups in the credits program can offset part of this cost with credits applied toward hiring through the network.
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